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WANG Li-feng, XIAO Zi-wang, ZHANG Zhen-wei, JIA Yan-min, SUN Yong. Construction risk analysis of butterfly arch continuous girder bridge with large angle V-shaped pier[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 28-36. doi: 10.19818/j.cnki.1671-1637.2012.03.005
Citation: WANG Li-feng, XIAO Zi-wang, ZHANG Zhen-wei, JIA Yan-min, SUN Yong. Construction risk analysis of butterfly arch continuous girder bridge with large angle V-shaped pier[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 28-36. doi: 10.19818/j.cnki.1671-1637.2012.03.005
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Construction risk analysis of butterfly arch continuous girder bridge with large angle V-shaped pier

doi: 10.19818/j.cnki.1671-1637.2012.03.005

  • School of Civil Engineering, Northeast Forestry University, Harbin 150040, Heilongjiang, China

More Information
  • Author Bio:

    WANG Li-feng (1971-), male, associate professor, doctoral student, +86-451-82191545, computerwlf@126.com

    JIA Yan-min (1962-), female, professor, PhD, +86-451-82191377, yanminjia2008@126.com

  • Received Date: 2011-12-28
  • Publish Date: 2012-06-25
    Abstract
  • The risk analysis problem of bridge construction was studied based on HGMFN comprehensive evaluation method, and a practical approach was proposed for V-shaped pier in construction process.The highest risk factor in V-shaped pier construction was confirmed by using AHP and grey theory, and construction plan comparison was carried out.Numerical simulation of stress state for V-shaped pier was done by using ANSYS software.Risk factor analysis was carried out on the basis of Monte Carlo theory and radial basis function artificial neural network technology.Analysis result indicates that when the simulation of structural stress state is more than two million times, the connection between V-shaped pier top and main beam has 8.5% higher failure risk than root of slant leg, which is the main structure failure risk location.HGMFN comprehensive evaluation method can analyze risk factors quantitatively, and has higher risk analysis accuracy and efficiency.

     

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    • References(21)
  • [1]
    NIU Hong. Risk analysis research for long-span continuous rigid-frame bridge during construction[D]. Xi'an: Chang'an University, 2009. (in Chinese).
    [2]
    GONG Jun-hu, WANG Hua-cheng, HUANG Bei-ping. Analysis of combination effect of beam-arch of V-shaped rigid-frame and arch structure combined bridge[J]. Journal of Railway Engineering Society, 2010, 27(6): 61-64, 78. (in Chinese). doi: 10.3969/j.issn.1006-2106.2010.06.014
    [3]
    GONG Jun-hu. Research on mechanical characteristics of combined bridge of V-shaped pier rigid-frame and arch struc-ture[D]. Chengdu: Southwest Jiaotong University, 2009. (in Chinese).
    [4]
    WANG Zhan-guo, YU Ya-nan, OU Chang-bao. A lignment control analysis of a prestressed-concrete V-shape pier continu-ous rigid frame bridge[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2006, 30(3): 504-507. (in Chinese). doi: 10.3963/j.issn.2095-3844.2006.03.037
    [5]
    CHEN Hou-jun. Research on designing scheme for V-shaped continuous steel box girder bridge in high-speed railway[D]. Shanghai: Tongji University, 2006. (in Chinese).
    [6]
    CAO Feng. V-supported prestressed concrete continuous rigid frame bridge spatial analysis and experimental study[D]. Xi'an: Chang'an University, 2009. (in Chinese).
    [7]
    HUANG Hai-yan, MA Rong-yong. Preliminary study on fuzzy risk analysis of dam safety[J]. Journal of Guangxi University: Natural Science Edition, 2003, 28(1): 14-18. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GXKZ200301004.htm
    [8]
    WANG Ying-ming, ELHAG T M S. A comparison of neural network, evidential reasoning and multiple regression analysis in modelling bridge risks[J]. Expert Systems with Applications, 2007, 32(2): 336-348. doi: 10.1016/j.eswa.2005.11.029
    [9]
    WANG Ying-ming, LIU Jun, ELHAG T M S. An integrated AHP-DEA methodology for bridge risk assessment[J]. Computers and Industrial Engineering, 2008, 54(4): 513-525. https://www.sciencedirect.com/science/article/pii/S0360835207002045
    [10]
    ERTAY T, RUAN D, TUZKAYA U R. Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems[J]. Information Sciences, 2006, 176(3): 237-262. doi: 10.1016/j.ins.2004.12.001
    [11]
    BAO Long-sheng, LIU Ke-tong, YU Ling, et al. Multi-objective risk analysis and documents assessment of bridge construction based on AHP-GRAY[J]. Journal of Shenyang Jianzhu University: Natural Science, 2009, 25(4): 663-669. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SYJZ200904010.htm
    [12]
    SUN Fang-tian, MA Yi-tai, LI Min-xia. Comprehensive evaluation of water heater based on the grey-analytic hierarchy theory[J]. Acta Energiae Solaris Sinica, 2008, 29(2): 204-208. (in Chinese). doi: 10.3321/j.issn:0254-0096.2008.02.015
    [13]
    SHAN De-shan, LI Qiao, ZHANG Ji-gang. Application of Monte-Carlo method to bridge damage identification[J]. Journal of Chongqing Jiaotong University: Natural Science, 2009, 28(5): 844-847. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT200905010.htm
    [14]
    FENG Qing-hai, YUAN Wan-cheng. Comparative study on BP neural network and RBF neural network in performance evaluation of seismic resistance for pier columns[J]. Struc-tural Engineers, 2007, 23(5): 41-47, 69. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JGGC200705009.htm
    [15]
    LIU Zhao-hui. Multifactor prediction model for traffic acci-dent based on grey-radial basis function neural network[J]. Journal of Traffic and Transportation Engineering, 2009, 9(5): 94-98. (in Chinese). http://transport.chd.edu.cn/article/id/200905017
    [16]
    ZHANG Tao, ZHAO Deng-fu, ZHOU Lin, et al. Short-term load forecasting using radial basis function networks and expert system[J]. Journal of Xi'an Jiaotong University, 2001, 35(4): 331-334. (in Chinese). doi: 10.3321/j.issn:0253-987X.2001.04.001
    [17]
    WANG Li-feng, XIAO Zi-wang, WANG Zi-qiang. Risk analysis of V-shaped pier in construction process by means of RBF artificial neural network[J]. Journal of Wuhan University of Technology, 2011, 33(5): 137-141. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-WHGY201105029.htm
    [18]
    WANG Zhi, FAN Fei. Risk control of financial leasing of construction machinery[J]. Road Machinery and Construc-tion Mechanization, 2012, 29(1): 82-84. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZLJX201201040.htm
    [19]
    HUANG Ling-yu. Model testing study on the node of com-bined bridge of V-shaped pier rigid-frame and arch structure[D]. Chengdu: Southwest Jiaotong University, 2006. (in Chinese).
    [20]
    ZOU Ji-min. V-shaped pier construction of Dongyang River Bridge of Zhejiang[J]. Highway, 2002(12): 14-15. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLGL200212004.htm
    [21]
    LI Guo-liang, LIU Zhao. Study on the demolishment sequence of scaffolds for the inverted-triangle area of the rigid-frame bridges with V-piers[J]. Journal of Highway and Transportation Research and Development, 2005, 22(8): 95-97, 101. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GLJK200508021.htm
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